Triple
T16224719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CH-7 |
E393815
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Coyhaique |
E36627
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Coyhaique | Statement: [CH-7, passesThrough, Coyhaique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coyhaique Context triple: [CH-7, passesThrough, Coyhaique]
-
A.
Coyhaique
chosen
Coyhaique is a small city in Chilean Patagonia known as a gateway to the remote Aysén Region, surrounded by mountains, rivers, and forests.
-
B.
Puerto Montt
Puerto Montt is a port city in southern Chile, serving as a key gateway to the Patagonian fjords and the Chilean Lake District.
-
C.
Puerto Valdivia
Puerto Valdivia is a small riverside town in northern Colombia known for its location along the Cauca River and its role as a local transport and trading point.
-
D.
Vallenar
Vallenar is a city in northern Chile known as an agricultural and mining center in the Atacama Desert.
-
E.
Puerto Aysén
Puerto Aysén is a small port city in Chilean Patagonia that serves as a key gateway to the fjords, glaciers, and national parks of the Aysén Region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d24f9688190b670cfeb73332293 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017ab10a48190afa19e74c0059427 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:03 a.m.